Visual Motion Analysis from Images and Videos

Summary

• The main objective was to work towards developing a software to find the optimal time to spray fungicides to prevent the spread of FHB disease among the common vegetation.
• Wheat and Canola flower data collection and annotation using SCVAT and storing them as PASCAL-VOC or YOLO format.
• Improving Yolov8 and Efficient-Det(pytorch version) algorithms to work on the created dataset by tuning hyperparameters in the former case and incorporating an attention module(e.g. CBAM) in the latter case.
• Deployment of the trained models on the demo Website for usage by farmers and similar people for FHB prevention.